Middle Data Engineer

Middle Data Engineer

We're hiring a Middle Data Engineer to build and operate reliable ELT/ETL pipelines on Snowflake + Airflow. You'll consolidate data from databases, REST APIs, and files into trusted, documented datasets with clear SLAs and ownership.

Responsibilities:

Ingest data from RDBMS/APIs/files into Snowflake (batch/incremental; CDC when applicable).

Build modular SQL/Python transformations; handle semi-structured JSON; publish consumer-read tables/views.

Orchestrate Airflow DAGs (dependencies, retries, backfills, SLAs) with monitoring and alerting.

Ensure idempotent re-runs/backfills; maintain runbooks and perform RCA for incidents.

Tune performance & cost in Snowflake (warehouse sizing, pruning; clustering when justified).

Partner with BI/Analytics to refine definitions and SLAs for delivered datasets.

Requirements:

24 years building production ETL/ELT; strong SQL (joins, window functions) + Python for data tooling.

Snowflake hands-on: Streams/Tasks/Time Travel; performance & cost basics; JSON handling.

Airflow proficiency: reliable DAGs, retries/backfills, SLAs; monitoring & alert routing.

Data warehousing/modeling (Kimball/3NF), schema evolution; API integrations (auth, pagination, rate limits, idempotency).

Git-based CI/CD; clear written English; privacy/GDPR basics.

Will Be A Plus:

iGaming familiarity: stakes, wins, GGR/NGR, RTP, retention/ARPDAU, funnels; RG/regulatory awareness.

AI & automation interest/experience: Snowflake Cortex for auto-documentation, semantic search over logs/runbooks, or parsing partner PDFs (with guardrails).

Exposure to cloud storage (GCS/S3/ADLS), Terraform/Docker, and BI consumption patterns (Tableau/Looker/Power BI).

What We Offer:

Direct cooperation with the already successful, long-term, and growing project.

Flexible work arrangements.

20 days of vacation.

Truly competitive salary.

Help and support from our caring HR team.